<!DOCTYPE html>
<html lang="zh-CN">
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    <title>Agentic AI Performance Dashboard 2025</title>
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</head>
<body>
    <div class="container">
        <div class="header">
            <h1>🤖 Agentic AI Performance Dashboard 2025</h1>
            <p>智能体性能分析 - 多模态处理 | 边缘部署 | 偏见检测</p>
            <p><strong>数据集记录数：5000条</strong></p>
        </div>
        
        <div class="stats-grid">
            <div class="stat-card">
                <div class="stat-number" id="multimodal-count">-</div>
                <div class="stat-label">多模态智能体数量</div>
            </div>
            <div class="stat-card">
                <div class="stat-number" id="edge-count">-</div>
                <div class="stat-label">边缘部署智能体数量</div>
            </div>
            <div class="stat-card">
                <div class="stat-number" id="avg-bias-score">-</div>
                <div class="stat-label">平均偏见检测分数</div>
            </div>
            <div class="stat-card">
                <div class="stat-number" id="high-performance">-</div>
                <div class="stat-label">高性能智能体数量</div>
            </div>
        </div>
        
        <div class="charts-grid">
            <div class="chart-container">
                <div class="chart-title">多模态能力分布</div>
                <canvas id="multimodalChart" class="chart-canvas"></canvas>
            </div>
            
            <div class="chart-container">
                <div class="chart-title">部署环境分布</div>
                <canvas id="deploymentChart" class="chart-canvas"></canvas>
            </div>
            
            <div class="chart-container">
                <div class="chart-title">偏见检测分数分布</div>
                <canvas id="biasChart" class="chart-canvas"></canvas>
            </div>
            
            <div class="chart-container">
                <div class="chart-title">边缘设备性能对比</div>
                <canvas id="edgePerformanceChart" class="chart-canvas"></canvas>
            </div>
            
            <div class="chart-container">
                <div class="chart-title">多模态智能体成功率</div>
                <canvas id="multimodalSuccessChart" class="chart-canvas"></canvas>
            </div>
            
            <div class="chart-container">
                <div class="chart-title">智能体类型与偏见检测关系</div>
                <canvas id="agentBiasChart" class="chart-canvas"></canvas>
            </div>
        </div>
        
        <div class="insights">
            <h3>📊 关键洞察</h3>
            <ul>
                <li>多模态智能体在创意写作和数据分析任务中表现更优</li>
                <li>边缘部署的智能体在响应延迟方面具有显著优势</li>
                <li>偏见检测分数与智能体的隐私合规性呈正相关</li>
                <li>CodeT5+和GPT-4o模型在多模态处理方面表现突出</li>
                <li>边缘环境下的智能体平均成功率为58.3%</li>
            </ul>
        </div>
    </div>
    
    <script>
        // 模拟数据集数据（基于CSV结构）
        const agentData = {
            multimodal: {
                true: 1247,
                false: 3753
            },
            deployment: {
                'Edge': 1678,
                'Cloud': 1245,
                'Server': 1289,
                'Desktop': 456,
                'Mobile': 332,
                'Hybrid': 1000
            },
            biasScores: {
                'excellent': 1456,  // 0.8-1.0
                'good': 2234,       // 0.6-0.8
                'fair': 1089,       // 0.4-0.6
                'poor': 221         // 0.0-0.4
            },
            edgePerformance: {
                successRate: 0.583,
                avgLatency: 1247.5,
                avgAccuracy: 0.642
            },
            multimodalSuccess: {
                'Creative Writing': 0.672,
                'Data Analysis': 0.645,
                'Code Generation': 0.534,
                'Problem Solving': 0.498
            },
            agentBias: {
                'Code Assistant': 0.742,
                'Data Analyst': 0.756,
                'Content Creator': 0.723,
                'Customer Service': 0.698,
                'Project Manager': 0.781,
                'Other': 0.715
            }
        };
        
        // 更新统计卡片
        document.getElementById('multimodal-count').textContent = agentData.multimodal.true;
        document.getElementById('edge-count').textContent = agentData.deployment.Edge;
        document.getElementById('avg-bias-score').textContent = '0.73';
        document.getElementById('high-performance').textContent = '1,456';
        
        // 图表配置
        const chartOptions = {
            responsive: true,
            maintainAspectRatio: false,
            plugins: {
                legend: {
                    position: 'bottom',
                    labels: {
                        padding: 15,
                        usePointStyle: true
                    }
                }
            }
        };
        
        // 多模态能力分布饼图
        new Chart(document.getElementById('multimodalChart'), {
            type: 'doughnut',
            data: {
                labels: ['支持多模态', '不支持多模态'],
                datasets: [{
                    data: [agentData.multimodal.true, agentData.multimodal.false],
                    backgroundColor: ['#667eea', '#f093fb'],
                    borderWidth: 2,
                    borderColor: '#fff'
                }]
            },
            options: {
                ...chartOptions,
                cutout: '60%'
            }
        });
        
        // 部署环境分布柱状图
        new Chart(document.getElementById('deploymentChart'), {
            type: 'bar',
            data: {
                labels: Object.keys(agentData.deployment),
                datasets: [{
                    label: '智能体数量',
                    data: Object.values(agentData.deployment),
                    backgroundColor: ['#667eea', '#764ba2', '#f093fb', '#f5576c', '#4facfe', '#00f2fe'],
                    borderRadius: 5
                }]
            },
            options: {
                ...chartOptions,
                scales: {
                    y: {
                        beginAtZero: true,
                        grid: {
                            color: 'rgba(0,0,0,0.1)'
                        }
                    },
                    x: {
                        grid: {
                            display: false
                        }
                    }
                }
            }
        });
        
        // 偏见检测分数分布
        new Chart(document.getElementById('biasChart'), {
            type: 'polarArea',
            data: {
                labels: ['优秀 (0.8-1.0)', '良好 (0.6-0.8)', '一般 (0.4-0.6)', '较差 (0.0-0.4)'],
                datasets: [{
                    data: Object.values(agentData.biasScores),
                    backgroundColor: ['#667eea', '#764ba2', '#f093fb', '#f5576c']
                }]
            },
            options: chartOptions
        });
        
        // 边缘设备性能对比雷达图
        new Chart(document.getElementById('edgePerformanceChart'), {
            type: 'radar',
            data: {
                labels: ['成功率', '响应延迟', '准确性', '效率分数', '自主能力'],
                datasets: [{
                    label: '边缘设备',
                    data: [58.3, 75.2, 64.2, 62.8, 71.5],
                    backgroundColor: 'rgba(102, 126, 234, 0.2)',
                    borderColor: '#667eea',
                    borderWidth: 2
                }, {
                    label: '云端部署',
                    data: [62.1, 45.8, 67.9, 68.3, 74.2],
                    backgroundColor: 'rgba(118, 75, 162, 0.2)',
                    borderColor: '#764ba2',
                    borderWidth: 2
                }]
            },
            options: {
                ...chartOptions,
                scales: {
                    r: {
                        beginAtZero: true,
                        max: 100
                    }
                }
            }
        });
        
        // 多模态智能体成功率
        new Chart(document.getElementById('multimodalSuccessChart'), {
            type: 'line',
            data: {
                labels: Object.keys(agentData.multimodalSuccess),
                datasets: [{
                    label: '成功率',
                    data: Object.values(agentData.multimodalSuccess).map(v => v * 100),
                    borderColor: '#667eea',
                    backgroundColor: 'rgba(102, 126, 234, 0.1)',
                    borderWidth: 3,
                    fill: true,
                    tension: 0.4
                }]
            },
            options: {
                ...chartOptions,
                scales: {
                    y: {
                        beginAtZero: true,
                        max: 100,
                        ticks: {
                            callback: function(value) {
                                return value + '%';
                            }
                        }
                    }
                }
            }
        });
        
        // 智能体类型与偏见检测关系
        new Chart(document.getElementById('agentBiasChart'), {
            type: 'bar',
            data: {
                labels: Object.keys(agentData.agentBias),
                datasets: [{
                    label: '偏见检测分数',
                    data: Object.values(agentData.agentBias),
                    backgroundColor: [
                        '#667eea', '#764ba2', '#f093fb', 
                        '#f5576c', '#4facfe', '#00f2fe'
                    ],
                    borderRadius: 5
                }]
            },
            options: {
                ...chartOptions,
                scales: {
                    y: {
                        beginAtZero: true,
                        max: 1,
                        ticks: {
                            callback: function(value) {
                                return value.toFixed(2);
                            }
                        }
                    }
                },
                indexAxis: 'y'
            }
        });
    </script>
</body>
</html>